Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/cpsc_2018/g2/A1252.hea (700 bytes) 
A1252 12 500 6500
A1252.mat 16x1+24 1000.0(0)/mV 16 0 -39 1760 0 I
A1252.mat 16x1+24 1000.0(0)/mV 16 0 -43 1730 0 II
A1252.mat 16x1+24 1000.0(0)/mV 16 0 -4 -30 0 III
A1252.mat 16x1+24 1000.0(0)/mV 16 0 41 1252 0 aVR
A1252.mat 16x1+24 1000.0(0)/mV 16 0 -18 -1666 0 aVL
A1252.mat 16x1+24 1000.0(0)/mV 16 0 -23 618 0 aVF
A1252.mat 16x1+24 1000.0(0)/mV 16 0 19 -2898 0 V1
A1252.mat 16x1+24 1000.0(0)/mV 16 0 187 -1626 0 V2
A1252.mat 16x1+24 1000.0(0)/mV 16 0 264 -195 0 V3
A1252.mat 16x1+24 1000.0(0)/mV 16 0 359 1017 0 V4
A1252.mat 16x1+24 1000.0(0)/mV 16 0 121 824 0 V5
A1252.mat 16x1+24 1000.0(0)/mV 16 0 3442 -3032 0 V6
# Age: 81
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown